改进nsga2多目标优化

说明：  一个关于数值分析的matlab演示，十分有用(A presentation on the numerical analysis matlab, very useful)

说明：  用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(fft analysis,plot rms spectrum,power density spectrum, etc.)

使用MATLAB语言实现[0,1]随机序列的游程检验(Using the MATLAB language implementation [0,1] random sequence runs test)

svm的分类问题，需要的可以下载此源码 。(SVM classification problems, the needs of this source can be downloaded.)

说明：  共同学习，共同提高，资源共享 移动通信中常用的turbo码相关程序(studying together, enhancing and sharing resources Mobile Communications common turbo codes related procedures)

三维ising模型适合没有结构文件需要自己根据实际机构编写(ising model)

用线性预测编码进行语音压缩 - Speech compression using Linear Predictive Coding(LPC is the oldest and the most basic of modern speech coders. Its a lossy scheme. Playback quality isn t preserved in the process but it can be used in low bit-rate systems.)

A given number is transfered to BCD code and with a control block passed to the 7 segment display.

股票指数模拟为几何布朗运动，GBM。 参数有五个： s0，dt（time step），均值，标准差，到期时间T； 利用子函数进行10万条轨道的monte carlo 模拟到期日（3个月）的指数点数，从而估计在买入信号出现后，3个月后的损益情况，主要用来估算VAR (Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM. )

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)